An Intelligent Intrusion Detection and Prevention System in MANET for Improving Network Security
Uma Gurav · SSRN Electronic Journal · 2020
A Mobile ad-hoc network (MANET) is a set of wireless multi hop networks which can broadcast data’s over an intermediate nodes; these networks have been universally adopted and develop into an essential as the expansion of the Internet of Things (IoT). But, the communications on MANET are sensitive, it mostly affected by several inner or outer node attackers, and the researches on securities related issues of MANET is most needed recently. Malicious nodes such as Black hole attack are one of the most prominent attacks in MANET. The conventional technique for firewalls and encryptions methods is not suitable for securing the system. So the intrusions detecting system needs to be implemented in the mobile ad hoc network. One of the various types of suspicious a node may perform is selfishness. Irregular or misbehavior node wishes to preserve their resources when using the services of others and utilizing unauthorized data. Misbehavior node that violate regulations and decrease the efficiency of standard nodes automatically. Only method for detecting intrusions in a MANET is analyzing and isolating method. This paper, describes a peculiar method for identifying suspicious nodes in mobile ad hoc networks with the design of Intrusions tracking and avoidance schemes for increasing the surveillance of MANET. This paper proposes a dynamic algorithm for identifying malicious node presence in a MANET environment and conduct experiments to check algorithm efficiency with other algorithms.